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Projected subgradient algorithms on systems of equilibrium problems

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Abstract

The paper proposes two parallel and cyclic algorithms for solving systems of equilibrium problems in Hilbert spaces. The algorithms combine two methods including the diagonal subgradient method and the projection method with parallel or cyclic computations. The obtained results can be considered as improvements over several previously known methods for systems of equilibrium problems in computational steps. The algorithms have also allowed to reduce several assumptions imposed on bifunctions. The strongly convergent theorems are established under suitable conditions.

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Acknowledgements

The author would like to thank the Associate Editor and the anonymous referees for their valuable comments and suggestions which helped us very much in improving the original version of this paper. The guidance of Profs. P. K. Anh and L. D. Muu is also gratefully acknowledged.

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Correspondence to Dang Van Hieu.

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Hieu, D.V. Projected subgradient algorithms on systems of equilibrium problems. Optim Lett 12, 551–566 (2018). https://doi.org/10.1007/s11590-017-1127-8

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  • DOI: https://doi.org/10.1007/s11590-017-1127-8

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